Abstract:
High perform lab-on-chip sensors packaged in a miniaturized form are replacing the
bulky sensors in the point-of-care detection and allowing rapid triage, treatment, or
discharge of patients. To satisfy the requirements of label-free detection, low cost, fast
response of a lab-on-chip biosensor, a nanodot enhanced metal-insulator-metal (MIM)
waveguide based refractive index sensor coupled with three rectangular cavities, is proposed
in this work. Numerical investigation of the transmission spectra, employing the
finite element method (FEM), exhibits a linear correspondence with the refractive index,
which is used to sense the unknown materials. With the initial structural setup, the
proposed sensor demonstrates a maximum sensitivity and FOM as 5016 nmRIU1
and 144, respectively. Imposing a sequential optimization of the structural parameters
and enhancing light-matter interaction by loading nanodots at the high E-field confined
areas, desired sensitivity (S) and figure of merit (FOM) are upgraded to 7564
nmRIU1 and 120, respectively. The proposed sensor’s temperature sensing capability
is explored by filling the sensing media with alcohol and polydimethylsiloxane
(PDMS). Maximum temperature sensitivity of 2:68 nm0C1 operating from 1000C
to 600C is recorded, while for polydimethylsiloxane, the maximum temperature sensitivity
of 3:40 nm0C1 for 200C to 700C operating range is recorded. Furthermore, this
work addresses some recent plasmonic sensors’ shortcomings in the selective detection
of a single element from a complex solution (e.g., blood sample) and proposed a sample
preparation model combining purification, molecular separation, and concentration
enhancement prior to the selective detection of Na+, K+, and glucose concentration in
the human blood. A refractive index model for this purpose, is developed that exposes
a maximum shift of 0:83 nm, 1:23 nm, and 8:72 nm of the transmittance peak
for the concentration variation of 1 mgdL1 in Na+, K+, and glucose solution easily
differentiable by the modern spectrometer. With such excellent performance metrics,
compact size, and simple to use feature, the proposed sensor is expected to bring a
notable solution in the point-of-care detection.
Description:
Supervised by
Dr. Rakibul Hasan Sagor,
Associate Professor,
Electrical and Electronic Engineering Department,
Islamic University of Technology (IUT), Gazipur.